{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 让图表直接在Jupyter Notebook中展示出来\n",
    "%matplotlib inline\n",
    "\n",
    "# 解决中文乱码问题\n",
    "plt.rcParams[\"font.sans-serif\"] = \"SimHei\"\n",
    "\n",
    "# 解决负号无法正常显示的问题\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 将图表设置成矢量图格式显示，这样看起来会更清晰\n",
    "# % config InlineBackend.figure_format = \"svg\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 设置坐标轴的标题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'注册量')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x444.96 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10,6.18))\n",
    "\n",
    "plt.subplot(1,1,1) # 1行1列的第1个坐标系\n",
    "\n",
    "# 设置x轴的标题\n",
    "plt.xlabel(\"月份\")\n",
    "# 设置y轴的标题\n",
    "plt.ylabel(\"注册量\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 设置坐标轴的刻度\n",
    "默认显示x、y的值，也可以自定义坐标轴的刻度。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "语法：\n",
    "- plt.xticks(ticks, labels)\n",
    "- plt.yticks(ticks, labels)  \n",
    "ticks表示刻度值；labels表示该刻度处对应的标签。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.YTick at 0x806c748>,\n",
       "  <matplotlib.axis.YTick at 0x806c0f0>,\n",
       "  <matplotlib.axis.YTick at 0x80596a0>,\n",
       "  <matplotlib.axis.YTick at 0x8093c88>,\n",
       "  <matplotlib.axis.YTick at 0x809e1d0>,\n",
       "  <matplotlib.axis.YTick at 0x80936d8>],\n",
       " <a list of 6 Text yticklabel objects>)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 设置x轴的刻度\n",
    "plt.xticks(np.arange(9), [\"1月份\",\"2月份\",\"3月份\",\"4月份\",\"5月份\",\"6月份\",\"7月份\",\"8月份\",\"9月份\"])\n",
    "# 设置y轴的刻度\n",
    "plt.yticks(np.arange(1000,7000,1000), [\"1000人\",\"2000人\",\"3000人\",\"4000人\",\"5000人\",\"6000人\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([], <a list of 0 Text yticklabel objects>)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 有时为了数据安全不会把x、y轴的数值具体显示出来，这是只需要给xticks和yticks传入一个空列表就可以将其隐藏\n",
    "plt.xticks([])\n",
    "plt.yticks([])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "练习：\n",
    "- 在2x1个坐标系的第1个坐标系中绘图；  \n",
    "轴刻度线设置成双向且不显示下轴刻度线；\n",
    "- 在第2个坐标系中绘图；  \n",
    "轴刻度线线设置成双向且不显示下轴刻度标签"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\pcApp\\Anaconda3\\lib\\site-packages\\matplotlib\\cbook\\deprecation.py:107: MatplotlibDeprecationWarning: Passing one of 'on', 'true', 'off', 'false' as a boolean is deprecated; use an actual boolean (True/False) instead.\n",
      "  warnings.warn(message, mplDeprecation, stacklevel=1)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(0.6, 9.4, 585.2, 6762.8)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x444.96 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x444.96 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 解决中文乱码问题\n",
    "plt.rcParams[\"font.sans-serif\"] = \"SimHei\"\n",
    "\n",
    "x = np.array([1,2,3,4,5,6,7,8,9])\n",
    "y = np.array([866,2325,5710,6482,6120,1605,3813,4428,4631])\n",
    "\n",
    "# 在2x1个坐标系的第1个坐标系中绘图\n",
    "fig = plt.figure(figsize=(10,6.18))\n",
    "plt.subplot(211)\n",
    "plt.plot(x,y)\n",
    "plt.xlabel(\"月份\")\n",
    "plt.ylabel(\"注册人数\")\n",
    "# 轴刻度线设置成双向，且下轴刻度线不显示\n",
    "plt.tick_params(axis=\"both\", which=\"both\", direction=\"inout\",bottom=\"false\")\n",
    "\n",
    "# 在2x1个坐标系的第2个坐标系中绘图\n",
    "fig = plt.figure(figsize=(10,6.18))\n",
    "plt.subplot(212)\n",
    "plt.plot(x,y)\n",
    "plt.xlabel(\"月份\")\n",
    "plt.ylabel(\"注册人数\")\n",
    "# 轴刻度线设置成双向，且下轴刻度标签不显示\n",
    "plt.tick_params(axis=\"both\", which=\"both\", direction=\"inout\", labelbottom=\"false\")\n",
    "\n",
    "# 有时为了美观，会把一些不需要显示的轴关闭。\n",
    "plt.axis(\"off\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 设置坐标轴的范围"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 8000)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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x2zSiY8ChJCeA32Dt5Hav3sXazUjngRuAj4/bnKvCTBk6+s1ZSX4KOAn8LcNXNWxw564kdS/Jg1W1mOTpwAPAZ4EXspahj/3I940d+vD9s9G3AyeGeUtJUqPh+80OAp/ZaNB8VYS+JOnxcTXM6UuSHieGviR1xNCXpI4Y+pLUEUNfkjryv81C3Ac9rWyLAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 将x轴的刻度范围设置为0~10，将y轴的刻度范围设置为0~8000\n",
    "plt.xlim(0,10)\n",
    "plt.ylim(0,8000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
